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基于响应面法的双螺杆泵容积效率建模优化
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Volumetric Efficiency Modeling and Optimization for Twin Screw Pumps Based on Response Surface Method
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    摘要:

    双螺杆泵容积效率的影响因素复杂且容积效率计算困难。为解决此问题,提出一种基于理论模型及响应面法相结合的容积效率建模优化方法。基于平行平板液流理论建立双螺杆泵效率理论模型,进行敏感度分析,筛选出影响泵容积效率的最敏感设计参数为间隙、压差及动力黏度。基于正交试验和响应面法,通过有限元数值仿真分析,建立泵容积效率与敏感参数的拟合关系模型。仿真结果表明所选择的敏感参数对效率影响均显著。基于该拟合关系模型,以容积效率为优化目标,建立优化模型并求解,获得最优敏感参数组合,使泵容积效率显著提高。所提优化方法可降低仿真计算的复杂性,提高理论模型的精度。

    Abstract:

    The influencing factors of the volumetric efficiency of twin screw pumps are complex and the calculation of volumetric efficiency is difficult. To solve this problem, a volumetric efficiency modeling optimization method based on theoretical model and response surface method was proposed. The theoretical model of the twin screw pump efficiency was established based on the theory of parallel plate liquid flow, and the sensitivity analysis was carried out. The most sensitive design parameters affecting the pump volumetric efficiency were screened out, which included the clearance, pressure difference and dynamic viscosity. Based on the orthogonal experiment and response surface method, the fitting relationship model between pump volume efficiency and sensitive factors was established through the finite element numerical simulation analysis. The simulation results show that the selected sensitive parameters have significant effect on the efficiency. Based on the fitting relationship model, taking the volumetric efficiency as the optimization objective, the optimization model was established and solved to obtain the optimal combination of sensitive parameters, by which the volumetric efficiency of the pump was significantly improved. The proposed optimization method can reduce the complexity of the simulation and improve accuracy of the theoretical models.

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张旺,杨帅,刘志杰.基于响应面法的双螺杆泵容积效率建模优化[J].机床与液压,2021,49(8):117-121.
ZHANG Wang, YANG Shuai, LIU Zhijie. Volumetric Efficiency Modeling and Optimization for Twin Screw Pumps Based on Response Surface Method[J]. Machine Tool & Hydraulics,2021,49(8):117-121

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  • 在线发布日期: 2023-03-01
  • 出版日期: 2021-04-28